Ilja'

Statistics, Logic, Information Technology

Ilja’ loves to teach and “play” with Statistics in order to make it less boring than it may seem. His teaching is for everybody, usually university students who need extra or post-graduate training. The lesson will take place in presence or remotely both by phone or online through the use of Skype and his digital whiteboard. The lesson will be practical with many exercises after a brief theoretical introduction: Ilja”ll not waste your time.

https://www.superprof.com/enthusiastic-professor-offers-private-lessons-statistics-and-related-subjects-florence-skype.html
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Detailed Information

Passionate PHD in Applied Statistics with 15 years of experience at University and with University education, he offers: • Statistical private classes in the university and post-university (see below the main topics addressed); • Statistical Consultancy and Data Analysis for the reading and drafting of publications, scientific articles, theses or papers; • Consulting in the use of Statistical Software: choice of Statistical Analysis and Discussion of Results; • Consulting in the use of Excel for the creation of appropriate Tables, Charts and Analysis. • Private Mathematics lessons for high school and high school students. Main topics covered (but not only): Descriptive Statistics – Tables, Charts and Indexes • Univariate and multivariate • Frequency distributions • Graphical representations • Central trend indices, variability, shape and specific • Contingency tables • Association or association indices dependence Probabilistic Calculation – Combinations, probabilities and random variables • Combinatorial calculus • Probability • Random or random variables • Discrete and continuous distributions • Normal or Gaussian distribution Statistical inference – Sampling, confidence intervals and hypothesis testing • Sample theory • Point estimators and standard error or standard error • Confidence intervals • Parametric and non parametric tests • Hypothesis testing for the representativeness of a sample • Hypothesis testing on two independent or dependent samples • One-way, repetitive, factorial and mixed ANOVA • Models predictive • Mod of simple and multivariate regression • Linear, logistic and nonlinear regression • Factorial analysis and PCA Statistical Analysis in Research • Bibliographic research: interpretation of tables, graphs and output of the articles • Research hypothesis: how to carry them out • Design of experimental research: planning of research • Data collection: sampling and detection • Data cleaning: preparing data for statistical analysis • Statistical analysis: disentangling between alternative techniques avoiding common errors • Use of Statistical Software • Interpretation of outputs • Discussion of results  Maximum professionalism. Competitive prices. Excellent results.  Lessons and Consultations even remotely via: o Phone call (he calls) with any support sent with WhatsApp; o Skype connection with possible support of the digital whiteboard.  Discounts for groups of 2 or more people. Do not hesitate to contact him for any clarification even on WhatsApp and without obligation.

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